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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-29 16:01:50</p>
            <p>spark.kmedoids.eval.synthetic.TestCase : -r Dropbox/eurecom-cluster/results/ -d gaussian_3_100_100000 -s 200000000 -s 400000000 -s 600000000 -s 800000000 -s 1000000000 -s 1200000000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.synthetic.ClaransTest</li>
                                    <li>spark.kmedoids.eval.synthetic.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100173-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>554.5418817776947</td>
                                                <td>41428</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>575.2122859405348</td>
                                                <td>35976</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>564.4623334787774</td>
                                                <td>41026</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>566.7010272511579</td>
                                                <td>37115</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>557.8766372606647</td>
                                                <td>40292</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>562.0273722601174</td>
                                                <td>34827</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>560.8612833514826</td>
                                                <td>37402</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>553.1054041964951</td>
                                                <td>40095</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>554.8557007636881</td>
                                                <td>35368</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>564.0722323026214</td>
                                                <td>25620</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>557.8234901265154</td>
                                                <td>25668</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>557.7559909039632</td>
                                                <td>25257</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>567.1238910530514</td>
                                                <td>25840</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>575.4489555854642</td>
                                                <td>26193</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>572.7454447965462</td>
                                                <td>26275</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>554.4712894065309</td>
                                                <td>24996</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>564.4947597853649</td>
                                                <td>26786</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>561.6696561226576</td>
                                                <td>26960</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>566.8883857599194</td>
                                                <td>26570</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>568.1008408804773</td>
                                                <td>25977</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>548.6676929424476</td>
                                                <td>25794</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>541.5280308476563</td>
                                                <td>21680</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>544.0612135370055</td>
                                                <td>24351</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>539.1138791044108</td>
                                                <td>23740</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>538.1363337292275</td>
                                                <td>22488</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>557.3636648133155</td>
                                                <td>22327</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>553.2457636002497</td>
                                                <td>23659</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>544.3163960672692</td>
                                                <td>25139</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>535.985438639584</td>
                                                <td>23635</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>541.3022881897847</td>
                                                <td>23793</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>538.428670114216</td>
                                                <td>16329</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>546.581658227826</td>
                                                <td>15244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>544.2245195241056</td>
                                                <td>15403</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>548.6297612719842</td>
                                                <td>14668</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>538.9729144930516</td>
                                                <td>15181</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>543.2069292653719</td>
                                                <td>15386</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>555.6483309944573</td>
                                                <td>15292</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>556.1349077024208</td>
                                                <td>15601</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>528.179423438224</td>
                                                <td>15680</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>564.4295601099725</td>
                                                <td>15668</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>545.7675029453357</td>
                                                <td>19740</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>528.5781240602464</td>
                                                <td>18116</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>548.8909911347598</td>
                                                <td>18113</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>536.664225874657</td>
                                                <td>16943</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>522.2162622328722</td>
                                                <td>17256</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>537.1387323454137</td>
                                                <td>18085</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>551.7970121247264</td>
                                                <td>18258</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>531.7856820607649</td>
                                                <td>15618</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>550.450353814721</td>
                                                <td>17279</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>548.1024663457382</td>
                                                <td>11002</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>554.094567804924</td>
                                                <td>12725</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>531.4466232654511</td>
                                                <td>11450</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>527.7343246294081</td>
                                                <td>11907</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>526.4204422378557</td>
                                                <td>12237</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>573.8912621245015</td>
                                                <td>11753</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>538.0007695574056</td>
                                                <td>12084</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>537.173623526842</td>
                                                <td>11945</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>529.1429697162796</td>
                                                <td>12115</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>531.9856070741208</td>
                                                <td>12146</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>536.7156092870017</td>
                                                <td>12137</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>568.7868826253447</td>
                                                <td>32743</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>563.8943539598815</td>
                                                <td>32912</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>561.5908439228235</td>
                                                <td>36133</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>574.0575766151453</td>
                                                <td>34184</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>565.8155982162511</td>
                                                <td>35348</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>567.4079757595832</td>
                                                <td>34095</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>575.0279473640218</td>
                                                <td>32017</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>558.1823132456718</td>
                                                <td>33637</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>548.126421306833</td>
                                                <td>31108</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>574.0407889952039</td>
                                                <td>22581</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>572.7148700046931</td>
                                                <td>22435</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>571.7051328422812</td>
                                                <td>21549</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>553.319155147765</td>
                                                <td>22533</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>547.3350799311338</td>
                                                <td>22756</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>564.5436084480842</td>
                                                <td>22720</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>571.977451856095</td>
                                                <td>22455</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>542.4900715118965</td>
                                                <td>22718</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>577.8327840687459</td>
                                                <td>23233</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>570.7341468760591</td>
                                                <td>22719</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>571.1558858617772</td>
                                                <td>22604</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>555.6356939034464</td>
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                        <td>6.0E8</td>
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                                                    <td>559.2211709169856</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>525.9213797383165</td>
                                                <td>11554</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>529.7632593106096</td>
                                                <td>11888</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>508.66514077751197</td>
                                                <td>12023</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>541.3245813963595</td>
                                                <td>12162</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>531.7371992292068</td>
                                                <td>11985</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>531.0598487494179</td>
                                                <td>12123</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>520.9375644131935</td>
                                                <td>13069</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>563.0119431501862</td>
                                                        <td>31483.550000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>6.777663930858225</td>
                                                        <td>6439.640734298933</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>559.8398987886719</td>
                                                        <td>28469.705364179543</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>566.1839875117005</td>
                                                        <td>34497.39463582046</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>545.407868830629</td>
                                                        <td>19552.899999999998</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>8.63861199529481</td>
                                                        <td>4312.964994305573</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>541.3648739653592</td>
                                                        <td>17534.37024828018</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>549.4508636958989</td>
                                                        <td>21571.429751719817</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>539.3998576081513</td>
                                                        <td>14545.449999999997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>12.381679293595942</td>
                                                        <td>3046.2677505259985</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>533.6050533230771</td>
                                                        <td>13119.752806941424</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>545.1946618932254</td>
                                                        <td>15971.14719305857</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>mean</td>
                                                            <td>565.0369444279645</td>
                                                        <td>27523.999999999993</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>std dev</td>
                                                            <td>10.19073525670333</td>
                                                        <td>5716.027770548721</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>low</td>
                                                            <td>560.2675335158159</td>
                                                        <td>24848.81665588685</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>high</td>
                                                            <td>569.8063553401131</td>
                                                        <td>30199.183344113135</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>531.906829409361</td>
                                                        <td>14826.650000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>11.870299505704159</td>
                                                        <td>3365.809909180382</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>526.3513582321722</td>
                                                        <td>13251.402473232658</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>537.4623005865498</td>
                                                        <td>16401.897526767345</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>554.3444458433212</td>
                                                        <td>19373.100000000006</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>9.708941383963024</td>
                                                        <td>4315.870088528227</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>549.80052140454</td>
                                                        <td>17353.210622331975</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>558.8883702821024</td>
                                                        <td>21392.989377668036</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>515.4524685627791</td>
                                                        <td>10549.550000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>15.165469846651495</td>
                                                        <td>2624.7175582386612</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>508.3548101944193</td>
                                                        <td>9321.144369960992</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>522.550126931139</td>
                                                        <td>11777.955630039014</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>553.3048081522969</td>
                                                        <td>23992.449999999997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>11.316418593504189</td>
                                                        <td>5112.72867176155</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>548.0085612214586</td>
                                                        <td>21599.619325499403</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>558.6010550831352</td>
                                                        <td>26385.28067450059</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>550.199431925982</td>
                                                        <td>19140.550000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>8.18653424525708</td>
                                                        <td>4122.295049005182</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>546.3680159605517</td>
                                                        <td>17211.256529552065</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>554.0308478914123</td>
                                                        <td>21069.84347044794</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>556.3006588711517</td>
                                                        <td>31781.05</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>8.838362396056862</td>
                                                        <td>6555.020426119367</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>552.1641779406369</td>
                                                        <td>28713.20600619929</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>560.4371398016664</td>
                                                        <td>34848.89399380071</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>mean</td>
                                                            <td>550.2826498452035</td>
                                                        <td>27482.499999999996</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>std dev</td>
                                                            <td>9.032557639716252</td>
                                                        <td>5565.816386895237</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>low</td>
                                                            <td>546.055282742998</td>
                                                        <td>24877.617747444954</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>high</td>
                                                            <td>554.5100169474091</td>
                                                        <td>30087.38225255504</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>517.6394450556436</td>
                                                        <td>10112.650000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>17.19243218664573</td>
                                                        <td>2313.3730050569698</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>509.59313911089583</td>
                                                        <td>9029.958106210395</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>525.6857510003913</td>
                                                        <td>11195.341893789608</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>558.3704192793645</td>
                                                        <td>23466.05</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>9.01193863033241</td>
                                                        <td>5219.043776855759</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>554.1527021705966</td>
                                                        <td>21023.46232469527</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>562.5881363881323</td>
                                                        <td>25908.63767530473</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>517.434739021479</td>
                                                        <td>10075.199999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>11.741778375235793</td>
                                                        <td>2090.445724317134</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>511.93941758487875</td>
                                                        <td>9096.841285180653</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>522.9300604580792</td>
                                                        <td>11053.558714819344</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>557.5287062675083</td>
                                                        <td>23526.15</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>10.720473085939624</td>
                                                        <td>5321.817183463796</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>552.5113704196515</td>
                                                        <td>21035.462889805858</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>562.546042115365</td>
                                                        <td>26016.837110194145</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>572.2173411232969</td>
                                                        <td>31724.899999999998</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>8.44337782747225</td>
                                                        <td>6412.363534199916</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>568.2657186611934</td>
                                                        <td>28723.821486792676</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>576.1689635854004</td>
                                                        <td>34725.978513207316</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>mean</td>
                                                            <td>569.0193393458219</td>
                                                        <td>27315.0</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>std dev</td>
                                                            <td>10.215970449998014</td>
                                                        <td>5694.099882657858</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>low</td>
                                                            <td>564.2381179996626</td>
                                                        <td>24650.07922332214</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>high</td>
                                                            <td>573.8005606919812</td>
                                                        <td>29979.92077667786</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>529.9209314056615</td>
                                                        <td>15003.900000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>13.048190824019816</td>
                                                        <td>3243.157978527137</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>523.814190122304</td>
                                                        <td>13486.055343753595</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>536.0276726890189</td>
                                                        <td>16521.74465624641</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 2.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.6720992599834195</td>
                                                                            <td>0.6467333293313092</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.6720992599834195</td>
                                                                            <td>1.0</td>
                                                                            <td>0.965187310345406</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.6467333293313092</td>
                                                                            <td>0.965187310345406</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 4.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.023712279465619185</td>
                                                                            <td>0.6175602377186975</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.023712279465619185</td>
                                                                            <td>1.0</td>
                                                                            <td>0.058148279654583135</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.6175602377186975</td>
                                                                            <td>0.058148279654583135</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 6.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.003912552404178174</td>
                                                                            <td>0.0797472673582839</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.003912552404178174</td>
                                                                            <td>1.0</td>
                                                                            <td>0.15283927867454516</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.0797472673582839</td>
                                                                            <td>0.15283927867454516</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 8.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.12605699235200984</td>
                                                                            <td>0.23308854511524724</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.12605699235200984</td>
                                                                            <td>1.0</td>
                                                                            <td>0.7895980517789928</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.23308854511524724</td>
                                                                            <td>0.7895980517789928</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.0E9</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>3.819019086416538E-7</td>
                                                                            <td>2.2139086489101294E-5</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>3.819019086416538E-7</td>
                                                                            <td>1.0</td>
                                                                            <td>0.2246906975614429</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>2.2139086489101294E-5</td>
                                                                            <td>0.2246906975614429</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.2E9</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>1.0014027972449665E-6</td>
                                                                            <td>0.010679918387085553</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>1.0014027972449665E-6</td>
                                                                            <td>1.0</td>
                                                                            <td>5.298879162997699E-4</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.010679918387085553</td>
                                                                            <td>5.298879162997699E-4</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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